基于机器学习的计算机视觉应用
Computer Vision Application Based on Machine Learning
郑士芹1
作者信息
- 1. 北京信息职业技术学院,北京 100081
- 折叠
摘要
本文通过深入分析各种机器学习模型,如卷积神经网络(CNN)、循环神经网络(RNN)和生成对抗网络(GAN),展示这些技术如何有效解决计算机视觉领域的各种挑战.此外,文章还探讨了这一领域的未来发展趋势,包括技术的进步、应用领域的拓展以及潜在的创新方向.
Abstract
Through in-depth analysis of various machine learning models,such as convolutional neural network(CNN),recurrent neural network(RNN)and generative countermeasure network(GAN),this paper shows how these technologies can effectively solve various challenges in the field of computer vision.In addition,the article also discusses the future development trend of this field,including the progress of technology,the expansion of application fields and potential innovation directions.
关键词
计算机视觉/机器学习/卷积神经网络(CNN)Key words
computer vision/machine learning/convolutional neural network(CNN)引用本文复制引用
出版年
2024
NETL
NSTL
万方数据